Senior Python Developer – Data Visualization

2 days ago

Greater Kolkata Area, India Utah Tech Labs Full time ₹ 12,00,000 - ₹ 24,00,000 per year

Company Description

Utah Tech Labs (UTL) specializes in digital transformations, offering technology solutions that help businesses build their digital vision. By turning IT into a strategic asset, UTL enables organizations to operate as autonomous enterprises. Their expertise extends to addressing business challenges in automation, service management, and operations. UTL is driven by a forward-thinking approach to deliver sustainable innovation.

Role Description

We are seeking an exceptional
Senior Python Developer
with strong expertise in
data visualization, AI-driven analytics, and enterprise-grade data integration
. The ideal candidate is passionate about transforming complex datasets into actionable insights using modern tools and AI technologies.

This is not a routine coding role — you will be
architecting intelligent data experiences
, connecting to
large-scale data warehouses
, and delivering
dynamic, visually compelling insights
that empower business decisions.

Qualifications

  • Hands-on experience with
    Tableau, Power BI or AI-powered BI tools
    .
  • Experience creating
    custom AI dashboards or conversational data assistants
    .
  • Contribution to
    open-source Python or data visualization projects
    is a plus.

Required Skills & Experience

  • 5+ years
    of professional experience in Python development (Pandas, NumPy, FastAPI, Flask).
  • Proven experience connecting Python applications to
    data warehouses or analytical databases
    .
  • Expertise in
    data visualization frameworks
    such as Plotly, Dash, Streamlit, or Matplotlib.
  • Solid understanding of
    SQL, data modeling, and ETL pipelines
    .
  • Experience with
    AI/ML integration
    — building or consuming AI APIs for analytics or automation.
  • Familiarity with
    cloud platforms
    (AWS, GCP, or Azure) and
    containerized deployments (Docker, Kubernetes)
    .
  • Strong understanding of
    data security, governance, and performance optimization
    .
  • Excellent communication skills and ability to collaborate across technical and business teams.

Key Responsibilities

  • Design, develop, and maintain
    Python-based data pipelines
    to connect and query enterprise
    data warehouses
    (e.g., Snowflake, BigQuery, Redshift, or Azure Synapse).
  • Build
    interactive and visually rich dashboards
    using market-standard frameworks such as
    Plotly Dash, Streamlit, Power BI API, or Tableau Python Integration
    .
  • Develop
    AI-assisted data models
    that extract patterns, predict trends, and generate natural-language summaries of business insights.
  • Collaborate with data engineers, analysts, and business leaders to
    translate analytical needs into scalable Python applications
    .
  • Optimize data retrieval and visualization performance for
    large, multi-source datasets
    .
  • Maintain
    code quality, reusability, and documentation
    following enterprise software development standards.

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